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IMAGE: Brandon Grainger (left) and Paul Ohodnicki received $820,000 from the Office of Naval Research to create new materials and manufacturing processes for ultra-wide bandgap semiconductors. view more
Credit: University of Pittsburgh
As electrification advancement accelerates and more renewables are integrated into the electric grid, improved power electronics systems are needed to convert AC or DC power into a usable form. New semiconductor device materials and advanced magnetic materials can enable an unprecedented combination of voltage levels and power handling capabilities.
However, the latest class of new switching devices, which use so-called ultra-wide bandgap (UWBG) semiconductor materials, will also require improved soft magnetic materials and manufacturing approaches not currently available.
Staff never announced that anyone had contracted Legionnairesâ disease, according to Robinson and one other person incarcerated at EJSP, who requested to speak anonymously for fear of retaliation. And they didnât tell people to stop drinking the water until two weeks ago, Robinson said. According to both Robinson and the other person, prison officials did not provide free bottled water to anyone except corrections staff.
On April 16, Rutgers Health, which regularly sends public health notices to New Jersey prisons, distributed a flyer about how Legionella grows and how the disease spreads to post in all housing units and on must-read boards.
(Image: Getty)
For most of us, making data-driven business decisions is a four-step process. First, you collect the data. Next, you mine it, which just means some combination of tools and data scientists look for patterns and correlations between different kinds of data. Third, those discoveries get pumped into the dashboards and visualizations that managers get to see. From there, it s up to the manager to interpret what the dashboard is telling them and make their decision.
The problem there is that the data you ve collected, and the patterns your tools and data scientists have discovered, now define the decisions you can make. A simplified example: Say PCMag collects loads of data on which articles have performed the best in terms of how many clicks a particular article or group of articles has received. Then our database engines rumble to life, groups the best articles together, and builds pretty visualizations so we can understand what was found. What we re looking at lets
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